The video is well paced and structured and in its larger parts focuses on ODI Studio, the IDE for building data integration projects. The TOC shown below is from the Packt Publishing website and while it gives the timing for each section as +20 minutes, each item on the TOC is provided in its own 3-7 minute video, making it easy to listen and consume:

The ODI Core Concepts [24:15 minutes]

Key ODI Concepts

Differentiating between ETL and ELT

Exploring the Graphical UI

ODI Basics

Defining Your Strategy

The ODI Staging Area

Developing in ODI – the Core Objects[21:47minutes]

Organizing Your Project

Creating an Interface

Using Joins, Data Sets, Filters, and Sequences

Using Temporary Interfaces and Lookups

Your Data Transformation Strategy – Knowledge Modules[11:06 minutes]

Adapting Knowledge Modules to Your Needs

Executing Data Transformation in an ODI Interface

Executing a Mapping on Your Source

Workflows in ODI[19:08 minutes]

Creating a Workflow in ODI

Reusable Workflows: Procedures

User Functions as Useful Functions

Customize Development Objects in ODI

Data Quality and Delta Detection[15:08 minutes]

Oracle Data Quality Products

Using Data Integrity Controls and Integrating Data Quality in ODI

Running EDQ

Delta Detection via CDC

Version Management and Deployment [13:06 minutes]

Version Management

Scenarios: Smallest Deployment Units

Solutions

Export and Import

Operating and Maintenance[12:51 minutes]

Loadplans

ODI Repository Tables

Security

Additional Supporting Functions[11:11 minutes]

How to Automate ODI Object Creation

Impact and Data Lineaging

ODI Studio Enhancements

The videos explains the development environment and replaces lots of readings. As someone being new to the whole project of data integration I missed a chapter 0 that introduces data integration principals and concepts to put viewers into a context that allows them to follow the rest of the tutorial.

Maybe people like me are not the envisioned audience this video is recorded for. Questions I had while watching the tutorial included i) what is the end product of a Oracle DI project (a script? a service API?), ii) how is the repository installed and where iii) what is the result of data integration, is is a data loading from a source into a target? An end-to-end example would have been nice to see the problem solved by the product and how this solution then looks.

All in all I think its a good tutorial if you are BI savvy and know what the Oracle DI Studio is good for (as it seems to be quite powerful). Given my non-BI background and using the Amazon star ranking as a shared language, I would give 3 stars. If there was a chapter 0 (missing) that introduces the concepts of data integration it would be worth a 4th star. An end-to-end example would have made me giving a 5th star in my rating.